Journal
IEEE TRANSACTIONS ON MEDICAL IMAGING
Volume 20, Issue 1, Pages 70-80Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/42.906426
Keywords
human cerebral cortex; topology; segmentation
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Funding
- NCRR NIH HHS [P41-RR14075, R01-RR13609] Funding Source: Medline
- NINDS NIH HHS [R01-NS39581] Funding Source: Medline
- NATIONAL CENTER FOR RESEARCH RESOURCES [P41RR014075, R01RR013609] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS039581] Funding Source: NIH RePORTER
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Highly accurate surface models of the cerebral cortex are becoming increasingly important as tools in the investigation of the functional organization of the human brain. The construction of such models is difficult using current neuroimaging technology due to the high degree of cortical folding. Even single voxel misclassifications can result in erroneous connections being created between adjacent hanks of a sulcus, resulting in a topologically inaccurate model. These topological defects cause the cortical model to no longer be homeomorphic to a sheet, preventing the accurate inflation, flattening, or spherical morphing of the reconstructed cortex. Surface deformation techniques can guarantee the topological correctness of a model, but are time-consuming and may result in geometrically inaccurate models. in order to address this need we have developed a technique for taking a model of the cortex, detecting and fixing the topological defects while leaving that majority of the model intact, resulting in a surface that is both geometrically accurate and topologically correct.
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